240 citations · 1.2k across the 114 of their papers we have counts for
7 papers · 1 filter
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen, Miao Liu, Michael Everett +1
Finding feasible, collision-free paths for multiagent systems can be challenging, particularly in non-communicating scenarios where each agent's intent (e.g. goal) is unobservable…
Predictive Positioning and Quality Of Service Ridesharing for Campus Mobility On Demand Systems
Justin Miller, Jonathan P. How
Autonomous Mobility On Demand (MOD) systems can utilize fleet management strategies in order to provide a high customer quality of service (QoS). Previous works on autonomous MOD s…
Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes
Taposh Banerjee, Miao Liu, Jonathan P. How
Optimal control in non-stationary Markov decision processes (MDP) is a challenging problem. The aim in such a control problem is to maximize the long-term discounted reward when th…
Small-Variance Nonparametric Clustering on the Hypersphere
Julian Straub, Trevor Campbell, Jonathan P. How +1
Structural regularities in man-made environments reflect in the distribution of their surface normals. Describing these surface normal distributions is important in many computer v…
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification
Shayegan Omidshafiei, Brett T. Lopez, Jonathan P. How +1
Robust environment perception is essential for decision-making on robots operating in complex domains. Principled treatment of uncertainty sources in a robot's observation model is…
Efficient Global Point Cloud Alignment using Bayesian Nonparametric Mixtures
Julian Straub, Trevor Campbell, Jonathan P. How +1
Point cloud alignment is a common problem in computer vision and robotics, with applications ranging from 3D object recognition to reconstruction. We propose a novel approach to th…